M. Haugh

2.2k citations
24 papers · 1.4k indexed · h-index 13
Topics
Meta-analysis and systematic reviews (3 papers)Cardiac, Anesthesia and Surgical Outcomes (3 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)

In The Last Decade

M. Haugh

22 papers receiving 1.3k citations

Peers

M. Haugh
Comparison fields: 5 of 118
  • Psychiatry and Mental health 381
  • Cardiology and Cardiovascular Medicine 283
  • Internal Medicine 239
  • Public Health, Environmental and Occupational Health 177
  • Surgery 166
Replace Suzanne M. Lloyd with:
Suzanne M. Lloyd United Kingdom
Florent Boutitie France
Frida Emanuelsson Denmark
Edwin Chan Singapore
Noam Y. Kirson United States
C. Oliver Kennedy United Kingdom
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M. Haugh relative to Suzanne M. Lloyd United Kingdom Suzanne M. Lloyd's profile →
Citations per field
00.5×4.5×
Suzanne M. Lloyd · 1×
Citations per year

Countries citing papers authored by M. Haugh

Since Specialization
Citations

This map shows the geographic impact of M. Haugh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Haugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Haugh more than expected).

Fields of papers citing papers by M. Haugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Haugh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Haugh. The network helps show where M. Haugh may publish in the future.

Co-authorship network of co-authors of M. Haugh

This figure shows the co-authorship network connecting the top 25 collaborators of M. Haugh. A scholar is included among the top collaborators of M. Haugh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Haugh. M. Haugh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 24
4 144
5 1
6 32
7 117
8 13
9 175
10
[Outline of the problem of indices of therapeutic efficacy. 4. Expression of efficacy when the underlying illness is incurable. Study Group for the Indices of Efficacy].
1
11 2
12 50
13 15
14
[The Cochrane Collaboration: the need for international collaboration].
1
15 9
16
Critical reading of the meta-analysis of clinical trials.
20
17 5
18 116
19 270
20 12

About M. Haugh

M. Haugh is a scholar working on Medical Terminology, Family Practice and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Internal Medicine (239 citations), Psychiatry and Mental health (381 citations) and Complementary and alternative medicine (154 citations). M. Haugh has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Michel Cucherat, Alain Leizorovicz, J P Boissel, Jean‐Pierre Boissel, François Chapuis, Meyer‐Michel Samama, J. P. Boissel, Patrice Nony, Michael D. Gooch and Jean‐Paul Boissel. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and Social Science & Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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